Pattern discovery using k-means algorithm
Student's placement in industry for the industrial training is difficult due to the large number of students and organizations involved. Further the matching process is complex due to the various criteria set by the organization and students. This paper will discuss the results of a pattern ext...
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2014
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Online Access: | http://repo.uum.edu.my/12502/1/AlMahdi14.pdf http://repo.uum.edu.my/12502/ http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6916589 |
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my.uum.repo.125022016-04-28T00:26:19Z http://repo.uum.edu.my/12502/ Pattern discovery using k-means algorithm Ahmed, Almahdi Mohammed Wan Ishak, Wan Hussain Md Norwawi, Norita Alkilany, Ahmed QA76 Computer software Student's placement in industry for the industrial training is difficult due to the large number of students and organizations involved. Further the matching process is complex due to the various criteria set by the organization and students. This paper will discuss the results of a pattern extraction process using a clustering algorithm that is k-means. The data use consists of Bachelor of Information Technology and Bachelor in Multimedia students of Universiti Utara Malaysia from the year 2004 till 2005. The experiments were conducted using undirected data and directed data. The pattern extracted gave information on the previous matching process done by the university. 2014-01 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/12502/1/AlMahdi14.pdf Ahmed, Almahdi Mohammed and Wan Ishak, Wan Hussain and Md Norwawi, Norita and Alkilany, Ahmed (2014) Pattern discovery using k-means algorithm. In: 2014 World Congress on Computer Applications and Information Systems (WCCAIS), 17-19 Jan. 2014, Hammamet, Tunisia. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6916589 |
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QA76 Computer software Ahmed, Almahdi Mohammed Wan Ishak, Wan Hussain Md Norwawi, Norita Alkilany, Ahmed Pattern discovery using k-means algorithm |
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Student's placement in industry for the industrial training is difficult due to the large number of students and organizations involved. Further the matching process is complex due to the various criteria set by the organization and students. This paper will discuss the results of a pattern extraction process using a clustering algorithm that is k-means. The data use consists of Bachelor of Information Technology and Bachelor in Multimedia students of Universiti Utara Malaysia from the year 2004 till 2005. The experiments were conducted using undirected data and directed data. The pattern extracted gave information on the previous matching process done by the university. |
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Conference or Workshop Item |
author |
Ahmed, Almahdi Mohammed Wan Ishak, Wan Hussain Md Norwawi, Norita Alkilany, Ahmed |
author_facet |
Ahmed, Almahdi Mohammed Wan Ishak, Wan Hussain Md Norwawi, Norita Alkilany, Ahmed |
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Ahmed, Almahdi Mohammed |
title |
Pattern discovery using k-means algorithm |
title_short |
Pattern discovery using k-means algorithm |
title_full |
Pattern discovery using k-means algorithm |
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Pattern discovery using k-means algorithm |
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Pattern discovery using k-means algorithm |
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pattern discovery using k-means algorithm |
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2014 |
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http://repo.uum.edu.my/12502/1/AlMahdi14.pdf http://repo.uum.edu.my/12502/ http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6916589 |
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